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Biological Inspiration for Multiple Memories Implementation and Cooperation
- Source :
- International Conference on Computational Intelligence, International Conference on Computational Intelligence, 2000, Kosice, Slovak Republic, 4 p, The State of the Art in Computational Intelligence ISBN: 9783790813227
- Publication Year :
- 2000
- Publisher :
- HAL CCSD, 2000.
-
Abstract
- Colloque avec actes et comité de lecture. internationale.; International audience; Biological inspiration has led to the design of many connectionist models and mechanisms. Among them, memorization mechanisms are of particular importance to endow biologically inspired systems with efficient and consistent adaptive abilities. In this paper, we report recent modelling works of this kind, implementing procedural, episodic and working memories and making them cooperate for autonomous agent navigation.
- Subjects :
- Cognitive science
Biological inspiration
connexionnisme
learning
Computer science
05 social sciences
Autonomous agent
[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
biological inspiration
inspiration biologique
050105 experimental psychology
Memorization
apprentissage
memory
03 medical and health sciences
0302 clinical medicine
Connectionism
mémoire
0501 psychology and cognitive sciences
connectionism
artificial neural networks
réseaux de neurones artificiels
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-7908-1322-7
- ISBNs :
- 9783790813227
- Database :
- OpenAIRE
- Journal :
- International Conference on Computational Intelligence, International Conference on Computational Intelligence, 2000, Kosice, Slovak Republic, 4 p, The State of the Art in Computational Intelligence ISBN: 9783790813227
- Accession number :
- edsair.doi.dedup.....e5fb92b54ffc3051a32e6eb30f0c9fd4